"How to interact with Notion" matching MCP servers:

Allows LLMs to execute Wolfram Language code in a secure, session-based environment by providing an interface to interact with a Wolfram Mathematica kernel.

Enables AI agents to interact with Jupyter notebooks via MCP tools for querying, modifying, executing, and setting up notebooks, with state preservation and real-time collaboration.

Enables agents to interact with the Logflare API by writing JavaScript functions that run in a Vercel Sandbox, using three tools: search, execute_read, and execute_write.

Exposes the Grok Build CLI as MCP tools for Claude Code and other clients, enabling headless AI agents to perform tasks like code reviews, web research, and file operations with configurable permission levels.

A Model Context Protocol (MCP) server that wraps the dbt CLI tool, enabling AI coding agents to interact with dbt projects through standardized MCP tools. Developed by Mammoth Growth.

Enables AI agents to interact with Bentley STAAD.Pro models for tasks like load case definition, data extraction, and property setting through natural language.

An integration tool that enables AI assistants like Claude to directly access and interact with Bitbucket repositories, pull requests, and code without requiring copy/paste operations.

Enables local agents to connect to and interact with Google Colab sessions running in the browser.

Enables AI coding assistants to interact with OpenAI's Codex AI through the official CLI. Provides direct integration for code analysis, file review, and batch processing with zero API costs.

An MCP server that enables AI assistants to interact with Ansys CFX through PyCFX, supporting natural-language-assisted CFX-Pre, CFX Solver, and CFD-Post workflows for setup, execution, and postprocessing.

Enables agents to interact with a running Roblox game client, execute Lua code, inspect scripts, spy on remotes, and more.

Enables AI agents to execute Lua code, inspect scripts, spy on remotes, and interact with a running Roblox game client through an MCP interface.

The Atla MCP Server provides a standardized interface for LLMs to interact with the Atla API for state-of-the-art LLMJ evaluation.

Enables ChatGPT web to interact with local Windows/WSL shell and code workspaces via an MCP server, providing file access, shell execution, and snapshot-based workspace management with per-command authorization.

A demonstration server that reveals security risks by accessing sensitive environment variables, illustrating how MCP tools can potentially leak user data without explicit consent.

An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.

A comprehensive MCP server providing tools for AI agents to interact with code, including reading symbols, importing modules, replacing text, and sending OS notifications.

Enables LLMs to interact with Python environments, execute code, manage files, and handle packages through the Model Context Protocol.

An MCP server that enables AI agents to interact with Modal, allowing them to deploy apps and run functions in a serverless cloud environment.

Enables AI agents to interact with the Baltamatica scientific computing kernel, executing code, managing variables, and running scripts while preserving workspace state across calls.

A Model Context Protocol server that enables LLMs like Claude to interact with Microsoft SQL Server databases through natural language, supporting queries, data manipulation, and table management.

A Model Context Protocol server that integrates Claude with Blender, enabling users to analyze and interact with IFC (Industry Foundation Classes) building models through natural language commands.

A Model Context Protocol server that enables AI assistants to interact directly with Warden-managed Magento 2 development environments, automating common tasks like project initialization, environment management, database operations, and Magento CLI commands.

MCP Server for the Peacock extension for VS Code (https://peacockcode.dev), coloring your world, one Code editor at a time. The main goal of the project is to show how an MCP server can be used to interact with APIs.

A Model Context Protocol server that enables AI agents to dynamically interact with Hasura GraphQL endpoints through natural language, supporting schema discovery, data querying/manipulation, and aggregations.

A Model Context Protocol server implementation that enables AI assistants to securely interact with GreptimeDB, allowing them to explore database schema, read data, and execute SQL queries through a controlled interface.

Enables AI assistants to interact with devpipe, a local pipeline runner, allowing them to list tasks, run pipelines, validate configurations, debug failures, analyze security findings, and generate CI/CD configs through natural language.

A template for building Model Context Protocol servers that allow AI assistants to interact with custom data and services through queryable resources and specialized tools.

Model Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.

A Model Context Protocol server that allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory.